bart-base-finetuned-CNN-DailyNews – AI Model by dwb2023 | AlphaNeural AI

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dwb2023/
bart-base-finetuned-CNN-DailyNews

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text2text-generation

generated_from_trainer

facebook/bart-base

endpoints_compatible

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bart-base-finetuned-CNN-DailyNews

This model is a fine-tuned version of facebook/bart-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.8665
Rouge1: 0.1884
Rouge2: 0.1059
Rougel: 0.1664
Rougelsum: 0.1772

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5.6e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
2.6095	1.0	63	1.9725	0.1592	0.0879	0.1436	0.1489
2.0568	2.0	126	1.8743	0.1945	0.1119	0.1714	0.1827
1.7918	3.0	189	1.8428	0.1867	0.1053	0.1638	0.1734
1.6358	4.0	252	1.8366	0.1873	0.1081	0.1664	0.1758
1.4646	5.0	315	1.8587	0.1915	0.1075	0.1684	0.1786
1.3943	6.0	378	1.8478	0.1824	0.1056	0.1619	0.1706
1.2954	7.0	441	1.8752	0.1897	0.1079	0.1662	0.1764
1.2544	8.0	504	1.8665	0.1884	0.1059	0.1664	0.1772

Framework versions

Transformers 4.41.1
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1